A medical apparatus includes a shaft for insertion into an organ of a patient, an expandable frame, a plurality of diagnostic electrodes, a respective plurality of reference electrodes, and a processor. The expandable frame is coupled to a distal end of the shaft, extending along a longitudinal axis and including a plurality of expandable spines disposed about the longitudinal axis. The plurality of diagnostic electrodes, disposed on external surfaces of the expandable spines, are configured to sense diagnostic signals when in contact with tissue. The respective plurality of reference electrodes, disposed on internal surfaces of the expandable spines directly opposite the diagnostic electrodes, is electrically insulated from the tissue and is configured to sense interfering signals. The processor is configured to receive the diagnostic signals sensed by the diagnostic electrodes, receive the interfering signals sensed by the respective reference electrodes, and calculate corrected diagnostic signals by subtracting the interfering signals from the diagnostic signals.

A device of an embodiment includes: an optical mechanism that guides light from a light source to skin tissue to scan the skin tissue; a control computation unit that controls driving of the optical mechanism, acquires tomographic images of the skin by processing optical interference signals from the optical system, and calculates a network of blood vessels on the basis of the tomographic images; and a display device that displays the network of blood vessels. The control computation unit computes autocorrelation values at coordinates in epidermis corresponding regions of the tomographic images, excludes combinations of tomographic images with the computed autocorrelation values corresponding to predetermined low autocorrelation, computes autocorrelation values at coordinates in dermis corresponding regions, determines coordinates at which the autocorrelation values in the dermis corresponding regions are within a predetermined low correlation range to be blood vessels or blood vessel candidates, and calculates a network of blood vessels.

Various embodiments of methods and systems for continuous transdermal monitoring (“CTM”) are disclosed. One exemplary embodiment of a continuous transdermal monitoring system comprises a sensor package. The sensor package may include a pulse oximetry sensor having a plurality of light detectors arranged as an array. One exemplary method for continuous transdermal monitoring begins by positioning a pulse oximetry sensor system, similar to the system described immediately above, adjacent to a target tissue segment. Then, the method continues by detecting a light reflected by the target tissue segment. Then, the method continues by transmitting a pulse oximetry reading(s), based at least in part on the light reflected by the target tissue segment, of the target tissue segment. Then, the method continues by analyzing the pulse oximetry reading(s). Then, the method continues by assessing the accuracy of the pulse oximetry reading from the first light detector relative to the pulse oximetry reading from the second light detector.

A method for performing free breathing pixel-wise myocardial T1 parameter mapping includes performing a free-breathing scan of a cardiac region at a plurality of varying saturation recovery times to acquire a k-space dataset; generating an image dataset based on the k-space dataset; and performing a respiratory motion correction process on the image dataset. The respiratory motion correction process comprises selecting a target image from the image dataset, co-registering each image in the image dataset to the target image to determine a spatial alignment measurement for each image, and identifying a subset of the image dataset comprising images with the spatial alignment measurement above a predetermined value. Following the respiratory motion correction process, a pixel-wise fitting is performed on the image dataset to estimate T1 relaxation time values for the cardiac region. Then, a pixel-map of the cardiac region is produced depicting the T1 relaxation time values.

A sensor includes a light emitting element, a photodetector element for receiving light emitted by the light emitting element, and a circuit board having the light emitting element and the photodetector element mounted thereon. A light emitting surface of the light emitting element is facing the circuit board which is provided with a light-transmitting portion for transmitting the light emitted by the light emitting element.

A magnetic resonance imaging apparatus according to an embodiment includes a controller and a generator. The controller divides a plurality of slice regions that are sequentially arranged into a first group including two non-sequential slice regions and a second group including a slice region positioned between the two non-sequential slice regions and acquires data from the slice regions for each of the groups. When acquiring data from at least one of the two non-sequential slice regions, the controller acquires the data after applying a pre-sat pulse to a position between the two non-sequential slice regions. When acquiring data from the slice region positioned between the two non-sequential slice regions, the controller acquires the data after applying a pre-sat pulse to a position of at least one of the two non-sequential slice regions.

A monitoring system includes a wearable appliance; and a processor coupled to the wearable appliance to analyze vital data or wellness data.

A method for measuring an intracranial fluid bioimpedance in a patient's head, to help detect an abnormality, may involve: securing a volumetric integral phase-shift spectroscopy (VIPS) device to the patient's head; measuring the intracranial fluid bioimpedance with the VIPS device by measuring a phase shift between a magnetic field transmitted from a transmitter on one side of a VIPS device and a magnetic field received at a receiver on another side of the VIPS device, at one or more frequencies; and detecting an abnormality in the intracranial bioimpedance fluid, using a processor in the VIPS device.

A computer-implemented method including, transmitting a high-spectrum energy wave towards a subject from a first sensor and transmitting a low-spectrum energy wave towards the subject from a second sensor. In response, modulation with a carrier sequence code results in a modulated evoked biological signal. The carrier sequence code has an autocorrelation function. The method includes demodulating the modulated evoked biological signal by calculating a convolution of the modulated evoked biological signal with the carrier sequence code resulting in an evoked biological signal spectrum. The evoked biological signal spectrum has a peak to sideband ratio as a function of the carrier sequence code. The method includes calculating deviations between each element of the sampled evoked biological signal and the peak to sideband ratio and filtering noise artifacts from the sampled evoked biological signal based on the deviations.

Representative methods, apparatus and systems are disclosed for blood pressure and other vital sign monitoring using arterial applanation tonometry, including ambulatory blood pressure and other vital sign monitoring. A representative system comprises a wearable apparatus. The various embodiments measure blood pressure and other vital sign monitoring using a plurality of pressure sensors of a pressure sensor array, with one or more of the pressure sensors 140 applanating an artery, such as a radial artery. In a first embodiment, a pressure sensor signal is utilized which has the highest cross-coherence with the signals of its nearest pressure sensor neighbors of the pressure sensor array. In a second embodiment, Kalman filtering is utilized for the pressure sensor signals from the pressure sensor array.